where \(v^{x,y}\)  is the 2D projection of vertex \(v\)  and \({s_v}^z\)  is the binary occlusion label with \({s_v}^z=1\)  indicating that the vertex \(v\)  is visible.
The UV correspondence loss can not only mitigate the inaccurate pseudo ground-truth meshes, but improve the faithfulness to human silhouettes since it is based on segmentation mask predictions.
We empirically discover that this direct vertex-level supervision is more efficient and effective for VisDB training compared to rendering-based losses [1]}, [2]}.
The proposed vertex-pixel correspondence and visibility labeling are illustrated in Figure REF .
